Salary for Entry-level / Junior Data Engineer during 2024
💰 The median Salary for Entry-level / Junior Data Engineer during 2024 is USD 88,933
✏️ This salary info is based on 279 individual salaries reported during 2024
Salary details
The average entry-level / junior Data Engineer salary lies between USD 64,000 and USD 120,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.
- Job title
- Data Engineer
- Experience
- Entry-level / Junior
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 279
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for Entry-level / Junior Data Engineer roles
The three most common job tag items assiciated with entry-level / junior Data Engineer job listings are Python, SQL and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:
Python | 1227 jobs SQL | 1197 jobs Engineering | 1108 jobs Pipelines | 772 jobs Computer Science | 655 jobs ETL | 647 jobs Azure | 554 jobs AWS | 551 jobs Data pipelines | 499 jobs Big Data | 472 jobs Spark | 469 jobs Machine Learning | 432 jobs Architecture | 374 jobs Agile | 364 jobs GCP | 354 jobs Java | 336 jobs Security | 324 jobs DevOps | 294 jobs Power BI | 287 jobs Testing | 277 jobsTop 20 Job Perks/Benefits for Entry-level / Junior Data Engineer roles
The three most common job benefits and perks assiciated with entry-level / junior Data Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:
Career development | 824 jobs Health care | 321 jobs Flex hours | 308 jobs Team events | 299 jobs Equity / stock options | 232 jobs Startup environment | 215 jobs Competitive pay | 214 jobs Insurance | 187 jobs Salary bonus | 137 jobs Medical leave | 136 jobs Flex vacation | 110 jobs Fitness / gym | 86 jobs Parental leave | 85 jobs Wellness | 85 jobs Relocation support | 57 jobs 401(k) matching | 55 jobs Transparency | 27 jobs Gear | 20 jobs Home office stipend | 19 jobs Unlimited paid time off | 17 jobsSalary Composition for Entry-Level/Junior Data Engineer Roles
The salary for an entry-level or junior data engineer typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living, while companies in smaller cities might offer lower base salaries but compensate with bonuses or stock options. In industries like finance or healthcare, bonuses might be more prevalent, whereas tech companies might offer stock options as part of the compensation package. Larger companies often have more structured bonus systems and benefits, while startups might offer equity as an incentive.
Steps to Increase Salary from an Entry-Level Position
To increase your salary from an entry-level position, focus on gaining experience and developing specialized skills. Pursuing advanced certifications or a master's degree in data science or a related field can make you more competitive. Networking within the industry and seeking mentorship can provide insights into career advancement opportunities. Additionally, taking on challenging projects, demonstrating leadership skills, and consistently exceeding performance expectations can position you for promotions and salary increases. Consider transitioning to roles with more responsibility, such as a senior data engineer or data architect, as these positions typically offer higher salaries.
Educational Requirements for Entry-Level Data Engineer Roles
Most entry-level data engineer positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. Some employers may accept candidates with degrees in mathematics or statistics, provided they have relevant technical skills. A strong foundation in programming, databases, and data structures is essential. While a bachelor's degree is often sufficient, some candidates may choose to pursue a master's degree to enhance their qualifications and improve their job prospects.
Helpful Certifications for Data Engineers
Certifications can be a valuable asset for aspiring data engineers. Some of the most recognized certifications include:
- Google Professional Data Engineer: Validates your ability to design, build, and manage data processing systems on Google Cloud.
- AWS Certified Data Analytics – Specialty: Demonstrates expertise in using AWS data lakes and analytics services.
- Microsoft Certified: Azure Data Engineer Associate: Focuses on designing and implementing data solutions on Microsoft Azure.
- Cloudera Certified Professional (CCP) Data Engineer: Tests your skills in data ingestion, transformation, and storage.
These certifications can help you stand out in the job market and demonstrate your commitment to professional development.
Experience Requirements for Entry-Level Data Engineer Roles
Entry-level data engineer positions typically require some practical experience, which can be gained through internships, co-op programs, or relevant projects during your studies. Employers look for candidates with hands-on experience in data manipulation, ETL processes, and familiarity with tools like SQL, Python, and big data technologies such as Hadoop or Spark. While direct work experience may not be extensive, demonstrating your ability to apply theoretical knowledge in practical scenarios is crucial.
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